code: def test_length_one_hypothesis(self):
      # Test case where there's hypothesis is of length 1 in Smoothing method 4.
      references = [
          "The candidate has no alignment to any of the references".split()
      ]
      hypothesis = ["Foo"]
      method4 = SmoothingFunction().method4
      try:
          sentence_bleu(
              references, hypothesis, smoothing_function=method4
          )
      except ValueError:
          pass
  
imports: import unittest
  import numpy
  from nltk.data import find
  from nltk.translate.bleu_score import SmoothingFunction, brevity_penalty, closest_ref_length, corpus_bleu, modified_precision, sentence_bleu
label_desc: Use image node_id 3 for calling the TestBLEUFringeCases obj's underlying member method code with example usage: obj.test_length_one_hypothesis() without return types